Eden Rabbie, September 2020
3. C
Short answer: No.
Local and foreign investment firms have been significantly active in non-UAE startup rounds.
Comparison: UAE startups funded by firms of the corresponding country vs other GCC startups, MENA startups, non-MENA startups
3. C. 1
3. C. 2
3. C. 3
<sup>Note 76:</sup> Comparison of non-UAE startups funded by firms active in UAE vs all funded UAE startups in 2015-2019 reported as frequency difference in non-UAE startups funded by 1+ investment firm who had participated in 1+ UAE startup rounds in 2015-2019, vs all UAE startups who raised a startup round in 2015-2019, is positive. δ=170, N<sub>pooled</sub>=731, ⌊95% CI⌋ [144, 196] (statistically significant). ⌊F 95% CI lower bound⌋/⌊F 95% CI upper bound⌋=2.1. For groups details, see Notes 75 and 77.
<sup>Note 77:</sup> Percentage share of investment firms who funded both UAE and non-UAE startups in 2015-2019 reported as population proportion estimator of investment firms who had participated in 1+ UAE startup round in 2010-2019 before participating in 1+ non-UAE startup rounds in 2015-2019, out of total investment firms who participated in 1+ UAE startup rounds in 2010-2019, p=.529. N=282, ⌊95% CI⌋ [60, 89]; N’=140, 95% CI [.43, .64].
<sup>Note 78:</sup> Number of non-UAE startups funded by 1+ investment firm who had participated in 1+ UAE startup rounds in 2015-2019 = 286. N=590, ⌊95% CI⌋ [261, 310]; N’=486, 95% CI [.54, .64]. For comparison with all funded UAE startups, see Note 73.
<sup>Note 79:</sup> Number of non-UAE startups funded by 1+ investment firm who had participated in 1+ UAE startup rounds in 2019 = 92. N=590, ⌊95% CI⌋ [75, 111];N’=133, 95% CI [.57, .84].
<sup>Note 80:</sup> Number of UAE startups who raised a startup round in 2015-2019 = 116. N=141, ⌊95% CI⌋ [105, 124]; 95% CI [.75, .88]. For comparison with non-UAE startups funded by firms active in UAE, see Note 73. For comparison with non-UAE startups funded by UAE firms, see Note 78.
<sup>Note 81:</sup> Comparison of non-UAE startups funded by UAE investment firms active in UAE vs all funded UAE startups in 2015-2019 reported as frequency difference in non-UAE startups funded by 1+ UAE investment firm who had participated in 1+ UAE startup rounds in 2015-2019, vs all UAE startups who raised a startup round in 2015-2019, is not statistically significant. N<sub>pooled</sub>=731, ⌊95% CI⌋ [-13, 30]. For groups details, see Notes 80 and 77.
<sup>Note 82:</sup> Percentage share of UAE investment firms who funded both UAE and non-UAE startups in 2015-2019 reported as population proportion estimator of UAE investment firms who had participated in 1+ UAE startup round in 2010-2019 before participating in 1+ non-UAE startup rounds in 2015-2019 out of total UAE investment firms who participated in 1+ UAE startup rounds in 2010-2019, p=.63. N=71, ⌊95% CI⌋ [16, 32]; N’=38, 95% CI [.43, .86].
<sup>Note 83:</sup> Number of non-UAE startups funded by 1+ UAE investment firm who had participated in 1+ UAE startup rounds in 2015-2019 = 123. N=590, ⌊95% CI⌋ [104, 143]; N’=213, 95% CI [.49, .68]. For comparison with all funded UAE startups, see Note 78.
<sup>Note 84:</sup> Number of non-UAE startups funded by 1+ UAE investment firm who had participated in 1+ UAE startup rounds in 2019 = 29. N=590, ⌊95% CI⌋ [19, 41];N’=43, 95% CI [.46, .97].
<sup>Note 85:</sup> Percentage share of UAE investment firms who funded non-UAE startups in 2015-2019 reported as population proportion estimator of UAE investment firms who had participated in 1+ non-UAE startup rounds in 2015-2019 out of total UAE investment firms who participated in 1+ startup rounds in 2015-2019, p=.79. N=71, ⌊95% CI⌋ [44, 59]; N’=67, 95% CI [.66, .89].
<sup>Note 86:</sup> Comparison of UAE investment firms who funded non-UAE startups in 2015-2019 vs those who funded UAE startups, reported as frequency difference in UAE investment firms who had participated in 1+ non-UAE startup rounds vs UAE investment firms who had participated in 1+ UAE startup rounds, in 2015-2019, is positive. δ=17, N=71, ⌊95% CI⌋ [5, 27] (statistically significant); Wilson p’ 95% CI [.07, .39](statistically significant).
Measurement is on year of round announcement.
Statistical significance and effect size are studied through analysis of confidence interval.
CI is Wilson score interval.
Unless explicitly mentioned, alpha = .05.
N is sample size of investment firms or startups active in the entire group sample. Refer to the notes for context.
Contact me if you need help or more details.
Rabbie, Eden. (2020). UAE Startup Access To Capital 2010-2020. Startup Report MENA [Online]. https://startupreport.me/uae-startup-access-to-capital-2020 (Based on analysis of 1011 equity-only seed, series A, bridge and series B startup rounds, 443 investors, 4730 ventures in MENA 2008-2019; enriched database: Crunchbase, PitchBook and fieldwork. Data last accessed 30 April 2020).
Newcombe, R. G. (1998). Interval estimation for the difference between independent proportions: comparison of eleven methods. Statistics in medicine, 17: 873-890. doi:10.1002/(SICI)1097-0258(19980430)17:8<873::AID-SIM779>3.0.CO;2-I
Newcombe, R. G. (2001). Estimating the difference between differences: measurement of additive scale interaction for proportions. Statistics in medicine, 20: 2885-2893. doi:10.1002/sim.925
Wallis, S. (2013). Binomial Confidence Intervals and Contingency Tests: Mathematical Fundamentals and the Evaluation of Alternative Methods. Journal of Quantitative Linguistics, 20:3, 178-208. doi:10.1080/09296174.2013.799918
3. D – Frequency
Short answer: Yes, significantly actively.
Comparison: Seed rounds raised by UAE and non-MENA startups
3. D. 1
3. D. 2
<sup>Note 87:</sup> Percentage share of UAE investment firms non-MENA seed rounds in 2015-2019 reported as population proportion estimator of frequency of seed rounds raised by non-MENA startups with participation from 1+ UAE investment firms, out of all seed rounds raised with UAE investment firms, in 2015-2019, p=.62. N=342, ⌊95% CI⌋ [104, 140]; N’=196, 95% CI [.53, .72].
<sup>Note 88:</sup> Percentage share of UAE investment firms non-MENA seed rounds in 2015-2019, excluding India and Pakistan, reported as population proportion estimator of frequency of seed rounds raised by non-MENA startups, excluding India and Pakistan, with participation from 1+ UAE investment firms, out of all seed rounds raised with UAE investment firms, in 2015-2019, p=.53. N=342, ⌊95% CI⌋ [87, 121]; N’=196, 95% CI [.45, .62].
<sup>Note 89:</sup> Difference between UAE investment firms non-MENA seed rounds and UAE seed rounds in 2015-2019 reported as frequency difference and population proportion estimator difference in startup rounds with participation from 1+ UAE investment firms raised by non-UAE startups vs raised by UAE startup rounds, in 2015-2019, is positive. δ=61, N=342, ⌊95% CI⌋ [37, 83] (statistically significant); Wilson p’ 95% CL [.11, .24] (statistically significant). Frequency of seed rounds in 2015-2019 for non-MENA and UAE, respectively, o=(122, 61). N=342, ⌊95% CI⌋ ([104, 140], [47, 76]); Wilson p’ 95% ([.31, .41], [.14, .22]).
<sup>Note 90:</sup> Difference between UAE investment firms non-MENA seed rounds except India and Pakistan, and UAE seed rounds, in 2015-2019, reported as frequency difference and population proportion estimator difference in startup rounds with participation from 1+ UAE investment firms raised by non-UAE startups excluding India and Pakistan vs raised by UAE startup rounds, in 2015-2019, is positive. δ=43, N=342, ⌊95% CI⌋ [20, 65] (statistically significant); Wilson p’ 95% CL [.06, .19] (statistically significant). Frequency of seed rounds in 2015-2019 for non-MENA excluding India and Pakistan, and UAE, respectively, o=(104, 61). N=342, ⌊95% CI⌋ ([87, 121], [47, 76]); Wilson p’ 95% ([.26, .36], [.14, .22]).
<sup>Note 91:</sup> Difference between UAE investment firms non-MENA seed rounds and all UAE startup rounds in 2015-2019 reported as frequency difference in non-MENA startup rounds with participation from UAE investment firms vs all UAE startup rounds, in 2015-2019, is not statistically significant. N=342, ⌊95% CI⌋ [-1, 47]; Wilson p’ 95% CL [-.01, .14]. Frequency of non-MENA seed rounds and all UAE startup rounds in 2015-2019, respectively, o=(122, 99). N=342, ⌊95% CI⌋ ([104, 140], [83, 116]); Wilson p’ 95% ([.31, .41], [.26, .36]).
<sup>Note 92:</sup> Difference between UAE investment firms non-MENA seed rounds and all UAE startup rounds in 2019 reported as frequency difference in non-MENA startup rounds with participation from UAE investment firms vs all UAE startup rounds, in 2019, is not statistically significant. N=342, ⌊95% CI⌋ [-13, 13]; Wilson p’ 95% CL [-.04, .04]. Frequency of non-MENA seed rounds and all UAE startup rounds in 2019, respectively, o=(23, 23). N=342, ⌊95% CI⌋ ([15, 34], [15, 34]); Wilson p’ 95% ([.04, .10], [.04, .10]).
<sup>Note 93:</sup> Difference between UAE investment firms non-MENA seed rounds except India and Pakistan, and all UAE startup rounds, in 2015-2019, reported as frequency difference in non-MENA startup rounds excluding India and Pakistan, with participation from UAE investment firms, vs all UAE startup rounds, in 2015-2019, is not statistically significant. N=342, ⌊95% CI⌋ [-19, 29]; Wilson p’ 95% CL [-.06, .08]. Frequency of non-MENA seed rounds excluding India and Pakistan, and all UAE startup rounds, in 2015-2019, respectively, o=(104, 99). N=342, ⌊95% CI⌋ ([87, 121], [83, 116]); Wilson p’ 95% ([.26, .36], [.24, .34]).
Measurement is on year of round announcement.
Statistical significance and effect size are studied through analysis of confidence interval.
CI is Wilson score interval.
Unless explicitly mentioned, alpha = .05.
N is sample size of investment firms or startups active in the entire group sample. Refer to the notes for context.
Contact me if you need help or more details.
Rabbie, Eden. (2020). UAE Startup Access To Capital 2010-2020. Startup Report MENA [Online]. https://startupreport.me/uae-startup-access-to-capital-2020 (Based on analysis of 1011 equity-only seed, series A, bridge and series B startup rounds, 443 investors, 4730 ventures in MENA 2008-2019; enriched database: Crunchbase, PitchBook and fieldwork. Data last accessed 30 April 2020).
Newcombe, R. G. (1998). Interval estimation for the difference between independent proportions: comparison of eleven methods. Statistics in medicine, 17: 873-890. doi:10.1002/(SICI)1097-0258(19980430)17:8<873::AID-SIM779>3.0.CO;2-I
Newcombe, R. G. (2001). Estimating the difference between differences: measurement of additive scale interaction for proportions. Statistics in medicine, 20: 2885-2893. doi:10.1002/sim.925
Wallis, S. (2013). Binomial Confidence Intervals and Contingency Tests: Mathematical Fundamentals and the Evaluation of Alternative Methods. Journal of Quantitative Linguistics, 20:3, 178-208. doi:10.1080/09296174.2013.799918
3. E – Capital per round per stage
Comparison: UAE investment firms funded UAE startup rounds, non-MENA startup rounds
<sup>Note 94:</sup> Capital change at seed stage for UAE vs non-MENA startups when funded by UAE investment firms in 2015-2019 reported as difference of median capital per seed round raised by UAE vs non-MENA startups, with participation from UAE investment firms, in 2015-2019, is not statistically significant. UAE(Mdn=$775k), Non-MENA(MDN=$1100K); Mann–Whitney U(N=135)=1663.5, Med<sub>pooled</sub>=1000k, z=-1.589, p=.056, p<sub>2T</sub>=.11.
<sup>Note 95:</sup> Capital change at series A stage for UAE vs non-MENA startups when funded by UAE investment firms in 2015-2019 reported as difference of median capital per series A round raised by UAE vs non-MENA startups, with participation from UAE investment firms, in 2015-2019, is positive. UAE(Mdn=$3M), non-MENA(Mdn=$6.45M); Mann–Whitney U(N=44)=115, z=-2.946, p=.0016 (statistically significant), p<sub>2T</sub>=.003 (statistically significant).
<sup>Note 96:</sup> Capital change at series B stage for UAE vs non-MENA startups when funded by UAE investment firms in 2015-2019 reported as difference of median capital per series B round raised by UAE vs non-MENA startups, with participation from UAE investment firms, in 2015-2019, is positive. UAE(Mdn=$10M), non-MENA(Mdn=$35M); Mann–Whitney U(N=35)=48.5, z=-2.041, p=.021 (statistically significant), p<sub>2T</sub>=.041 (statistically significant).
<sup>Note 97:</sup> Capital difference in startup rounds reported as difference in population percentage estimator of startup rounds in which UAE investment firms funded a startup, for non-MENA vs UAE startups, in 2015-2019, is positive. δ=.78, N=256, CI 95% [.697, .863] (statistically significant); ⌊95% CI⌋ [$1973M, $2444M]. Total capital in startup rounds capital for non-MENA and UAE, respectively, o=(161, 73). N=256, ⌊95% CI⌋ ([$2278M, $2622M], [$80M, $402M]).
Measurement is on year of round announcement.
Statistical significance is studied through analysis of p-value or confidence interval.
CI is Wilson score interval.
Unless explicitly mentioned, alpha = .05.
N is disclosed rounds only in the entire group sample. Refer to notes for context.
‡ Participation in a round does not equal contribution. Due to the nature of data it is not feasible to calculate the actual share of each contributor.
‡ Given the difficulty of attribution due to lack of granular data, we recommend using the insights marked with the double dagger sign (‡) on total capital contribution by investment origin only to gain a sense of direction and relation from the data.
Rabbie, Eden. (2020). UAE Startup Access To Capital 2010-2020. Startup Report MENA [Online]. https://startupreport.me/uae-startup-access-to-capital-2020 (Based on analysis of 1011 equity-only seed, series A, bridge and series B startup rounds, 443 investors, 4730 ventures in MENA 2008-2019; enriched database: Crunchbase, PitchBook and fieldwork. Data last accessed 30 April 2020).
Hettmansperger, T. and McKean, J. (2011). Robust Nonparametric Statistical Methods. Boca Raton: CRC Press. doi:10.1201/b10451
Newcombe, R. G. (1998). Interval estimation for the difference between independent proportions: comparison of eleven methods. Statistics in medicine, 17: 873-890. doi:10.1002/(SICI)1097-0258(19980430)17:8<873::AID-SIM779>3.0.CO;2-I
Newcombe, R. G. (2001). Estimating the difference between differences: measurement of additive scale interaction for proportions. Statistics in medicine, 20: 2885-2893. doi:10.1002/sim.925
Wallis, S. (2013). Binomial Confidence Intervals and Contingency Tests: Mathematical Fundamentals and the Evaluation of Alternative Methods. Journal of Quantitative Linguistics, 20:3, 178-208. doi:10.1080/09296174.2013.799918
Investor Behavior In UAE Venture Space 2010-2020 – Final Remarks
UAE does not have a problem attracting new investment firms to local startup rounds. It has a problem with keeping them.
The number of foreign investment firms joining the space has tripled since 2015, with 86% of funded UAE startups attracting foreign capital, while capital deployed in rounds with foreign firms doubling in 2015-2019. In fact, 4 of every 5 investment firms active with UAE startups are foreign firms.
Local firms’ contribution has grown massively. Participating in funding 60% of all funded UAE startups is not a small feat. However, this share has not changed since 2014, despite UAE firms doubling their capital contribution to rounds. At the same time, UAE firms invest heavily abroad. The ratio of local to foreign startups with UAE capital is 1:2.
However, while the UAE venture space gains the most on the foreign capital front, it is also where it bleeds the most. 66% of foreign investment firms try UAE startups once and leave, without ever coming back. With investor churn at record high, today we are left with only 23 firms (out of 150) invest consistently in UAE rounds for 3+ years, split evenly between local and foreign firms.
If the UAE venture spaces continues to attract more firms without addressing the high investor turnover problem it will only mean more one-off firms. On the other hand, improving investor retention to get firms to be active for a second year, cutting the 57% one-off rate, would boost the growth of the consistent core base to 153% in five years, adding 35 consistent firms instead of 23, on top of the current base. This effectively turns around the UAE startup access to capital slowdown.
Solving the investor turnover challenge is key. Knowing what makes investors leave is the first step to solving the challenge. In the next report, we explore the startup side in the UAE venture space to find out if there is something there that resulted in investors behaving this way, and if so, how to improve it.
Back to series home | Next report: Return On Investing In UAE Startups 2010-2020
Data Analytics and Commercialization in MENA
– 12 years of experience working with governments developing their SME sectors.
– Data science background, CIM, Six Sigma. Japanese-trained.
– Featured author on Medium.
Worked 8 years with the Japanese government to help MENA governments develop their SME sectors, followed by 3 years with UAE government to grow its venture space.
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Rabbie, Eden. (2020). UAE Startup Access To Capital 2010-2020. Startup Report MENA [Online]. https://startupreport.me/uae-startup-access-to-capital-2020
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